Enterprise Data & AI Orchestration Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 7h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 132d ago
The date the source published, not the day we noticed it (2026-05-06). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil, Mexico, Argentina, Peru, Colombia, Uruguay
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–150k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 2h ago
The listing
Xenon7 is looking for a Fractional Enterprise Data & AI Orchestration Architect to support senior-level client conversations, technical discovery, and architecture validation for enterprise AI initiatives.
This is a part-time advisory role, ideal for someone with deep experience designing enterprise data platforms, AI orchestration layers, MLOps practices, and production-grade GenAI systems. You will help Xenon7 validate technical decisions, shape AI/data proposals, and bring senior credibility to conversations with CTOs, Chief Data Officers, and platform engineering leaders.
This is not a full-time delivery role. The expected commitment is around 10–20 hours per month on an advisory retainer.
Responsibilities
- Join technical discovery and deep-dive conversations with enterprise technology leaders.
- Advise on enterprise AI, data platform, and orchestration architecture.
- Support XData and orchestration-layer POCs by validating architecture decisions.
- Review client proposals to ensure the proposed solutions are technically sound and realistic.
- Provide guidance on MLOps, observability, AI evaluation, and production AI governance.
- Contribute to thought leadership, such as technical content, conference talks, or market-facing insights.
- Help Xenon7 identify risks, trade-offs, and best practices when designing AI solutions for complex enterprise environments.
Requirements
- Advanced academic background in Computer Science, Machine Learning, Data Engineering, or a related field. PhD preferred; Master’s degree also considered.
- Deep hands-on experience building enterprise data platforms in complex, multi-system environments.
- Strong experience with production AI/ML systems, MLOps, observability, evaluation frameworks, and AI governance.
- Experience with agentic or GenAI orchestration frameworks such as LangChain, LlamaIndex, AutoGen, Semantic Kernel, or similar.
- Ability to advise senior technical stakeholders, including CTOs, CDOs, data leaders, and platform engineering teams.
- Strong architectural judgment and ability to identify what is technically realistic, scalable, and enterprise-ready.
- Strong English communication skills.
- Bonus: experience with Microsoft AI ecosystem tools such as Azure AI, Azure OpenAI, Copilot, or Copilot Studio.
- Bonus: experience with Snowflake, Databricks, MLflow, Kubernetes, Airflow, dbt, or similar enterprise data/AI tooling.
Benefits
- Advisory retainer up to USD $50/hour
- Fractional advisory engagement: approximately 10–20 hours per month
- Remote work arrangement
- Opportunity to work directly with senior Xenon7 leadership and enterprise clients.
- Exposure to high-level AI transformation, data platform, and GenAI strategy initiatives.